Quantifying Ascertainment Bias and Determining Proxy Ancestral Alleles in Human Genome-Wide Polymorphic Data for Use in the Determination of Human Demographic History

Abstract

My work is part of an effort in Dr. Gabor Marth's population genetics lab to extend the work of Marth's 2004 Genetics paper "The allele frequency spectrum in genome-wide human variation data reveals signals of differential demographic history in three large world populations" by applying its methods to new datasets. My contribution toward this end has been to create computer code (in Perl and Bash) to quantify ascertainment bias and determine proxy ancestral alleles in human genome-wide polymorphic data for post-doctoral fellow Dr. Eric Tsung's use in the determination of human demographic history. The final results of my efforts will be part of a poster by Dr. Tsung (with myself as a second author) displayed at the 2007 Biology of Genomes Symposium at Cold Spring Harbor Laboratory in Cold Spring Harbor, New York. Our goal is to turn that poster into a paper (on which I will be an author) for submission for publication in a major scientific research periodical and which will also be available in the future at http://bioinformatics.bc.edu/marthlab/ascertainmentancestral/.